Y-SPCR: A new dimensionality reduction method for gene expression data classification.
Jie LiZhun ZhaoLi ZhouYadong WangPublished in: BIBM (2019)
Keyphrases
- gene expression data
- tumor classification
- dimensionality reduction methods
- high dimensionality
- dimensionality reduction
- gene expression profiles
- microarray
- data sets
- feature selection
- gene expression
- cancer classification
- gene expression analysis
- gene selection
- multi step
- microarray data
- analysis of gene expression data
- high dimensional data
- dna microarray
- cancer diagnosis
- informative genes
- microarray datasets
- discriminant analysis
- colon cancer
- pattern recognition
- feature space
- gene expression datasets
- tissue samples
- high dimensional
- support vector machine svm
- high classification accuracy
- machine learning
- feature extraction
- random projections
- classification accuracy
- text classification
- feature set
- feature vectors
- gene expression data sets
- discriminant projection
- preprocessing step
- principal component analysis
- decision trees
- data mining
- dimension reduction
- image classification
- supervised learning
- data points
- image processing